The Embryo as Living Matter Physics

ORAL

Abstract

How do collectively organized multi-cellular life forms emerge from the exchange of individual mechanical and morphogenetic cues? Although the largely unexplored landscape of non-equilibrium effects in many-particle biological systems is becoming increasingly accessible through bio-optics experiments with high spatiotemporal resolution, a physical theory of development has remained elusive due to challenges deciphering multiscale population dynamics. Treating the embryo as a system subject to statistically motivated interaction rules where proliferation drives non-equilibrium activity, a new class of active matter was defined where particles exhibit directional, volume-conserving division in confinement. Features such as finite lifetimes, changing number density, and decreasing length scales, required development of new ensemble averaging tools for analyzing time-dependent stochastic trajectories. A minimal reductional division model with steric interactions and cell cycle dependent control was found to be a robust strategy for probing relationships between growth rate, volume, and diffusivity in generating collective space-time morphological patterns. Characterization of isovolumetric dividing active matter thus yields a new statistical-mechanics perspective on embryonic self-organization.

*This research was supported by the National Institute of Biomedical Imaging and Bioengineering, under the NIH Oxford-Cambridge Scholars Program.

Publication: Lish S., Hupe L., Golestanian R., Bittihn P. "Isovolumetric Dividing Active Matter." preprint arXiv:2409.20481v1 [cond-mat.soft], Sept 2024.

Lish S., Hupe L., Isensee J., Chaw M., Shroff H., Bittihn P., Golestanian R. "Anomalous Diffusion Guides Embryonic Cell Fate through Dynamic Steric Interactions." forthcoming.

Lish S., Isensee J., Shroff H., Bittihn P., Golestanian R. "Volume Scaling and Cell Sorting in Embryonic Confinement." forthcoming.

Presenters

  • Samantha Renee Lish

    • University of Oxford/National Institutes of Health

Authors

  • Samantha Renee Lish

    • University of Oxford/National Institutes of Health
  • Ramin Golestanian

    • Oxford University/Max Planck Institute for Dynamics and Self-Organization
    • Max Planck Institute for Dynamics and Self-Organization (MPI-DS)
    • Max Planck Institute for Dynamics and Self-Organization
  • Hari Shroff

    • Janelia Research Campus, Howard Hughes Medical Institute
  • Philip Bittihn

    • Max Planck Institute for Dynamics and Self-Organization
  • Lukas Hupe

    • Max Planck Institute for Dynamics and Self-Organization/University of Göttingen